Accuracy of Three /Four-dimensional Ultrasound in Diagnosing Placenta Accreta Spectrum

January 14, 2020 updated by: Hatem AbuHashim

Accuracy of Three /Four-dimensional Ultrasound in Diagnosing Placenta Accreta Spectrum: A Prospective Study

The placenta accreta spectrum (PAS) which includes accreta, increta, and percreta represents a significant obstetric challenge. PAS complicates as many as 1 per 500 pregnancies and this risk is increased with prior cesarean deliveries. Antenatal diagnosis of PAS allows for multidisciplinary planning and delivery before the onset of labor and/or vaginal bleeding. This approach has reduced maternal morbidity rates, including less blood loss, fewer transfusion requirements and, intraoperative urologic injuries as well as improve fetal outcome.

Ultrasound evaluation, with grayscale and color Doppler imaging, is the recommended first-line modality for diagnosing PAS. Grayscale ultrasound features suggestive of placenta accreta include an inability to visualize the normal retroplacental clear zone, irregularity and attenuation of the uterine-bladder interface, retroplacental myometrial thickness, presence of intraplacental lacunar spaces, and bridging vessels between the placenta and bladder wall when using color Doppler. Magnetic resonance imaging (MRI) has been used to predict the depth of placental invasion, but it is expensive and often not immediately available.

Recently, a new imaging technique utilizing three-dimensional (3D)/four-dimensional (4D) volume rendering ultrasound (VRU) was proposed as a promising tool for the preoperative diagnosis of placenta previa accerta spectrum. By using "crystal vue" and "realistic vue" volume rendering mode, it could detect 11 out of 12 cases (91.6%) of PAS which was subsequently confirmed during surgery. Accordingly, The aim of this study is to examine the diagnostic performance of 3D/four-dimensional (4D) volume rendering ultrasound (VRU) for placenta previa accerta spectrum in correlation with the clinical (operative) and pathological findings.

Study Overview

Status

Unknown

Study Type

Observational

Enrollment (Anticipated)

113

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 40 years (Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

Female

Sampling Method

Probability Sample

Study Population

Pregnant females during the third trimester of pregnancy, with a single fetus in the current pregnancy, a previous delivery by at least 1 cesarean section and having an anterior placenta previa or anterior low-lying placenta by ultrasound assessment.

Description

Inclusion Criteria:

  • Pregnant women in their third trimester
  • with a single fetus in the current pregnancy
  • a previous delivery by at least 1 cesarean section
  • having an anterior placenta previa or anterior low-lying placenta by ultrasound assessment

Exclusion Criteria:

  • cases with twin or multiple pregnancies,
  • cases with a non-previa placenta or posterior low lying or previa placenta,
  • cases without previous deliveries by cesarean section
  • cases before the third trimester of pregnancy.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
US scan with 3D/4D VRU software
Every patient will be evaluated by grayscale 2D-ultrasound and color Doppler. Then, a Samsung WS 80A Elite US scanner with 3D/4D VRU software will be used to assess the placental invasion by applying the two modes ("crystal vue" and "realistic vue"). The image analysis will be performed after obtaining the volume dataset. Data will be compared with the intraoperative findings and histopathological confirmation if hysterectomy will be done.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnostic accuracy of 3D/4D VRU software
Time Frame: Intra-operative (i.e. during surgery).
The diagnostic accuracy of 3D/4D VRU software in comparison with the intra operative findings and histopathological confirmation if hysterectomy will be done.
Intra-operative (i.e. during surgery).

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Study Chair: Hatem Abu Hashim, Faculty of Medicine, Mansoura University
  • Principal Investigator: Asmaa Mahran, Mahala General Hospital

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

February 1, 2020

Primary Completion (Anticipated)

February 1, 2021

Study Completion (Anticipated)

March 1, 2021

Study Registration Dates

First Submitted

January 12, 2020

First Submitted That Met QC Criteria

January 14, 2020

First Posted (Actual)

January 18, 2020

Study Record Updates

Last Update Posted (Actual)

January 18, 2020

Last Update Submitted That Met QC Criteria

January 14, 2020

Last Verified

January 1, 2020

More Information

Terms related to this study

Other Study ID Numbers

  • MS.19.05.656

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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